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Title: Testing Biological Ideas on Evolution, Aging and Longevity with Demographic and Genealogical Data


1
Testing Biological Ideas on Evolution, Aging and
Longevity with Demographic and Genealogical Data
  • Leonid A. Gavrilov
  • Natalia S. Gavrilova
  • Center on Aging, NORC/University of Chicago,
  • 1155 East 60th Street, Chicago, IL 60637

2
What are the data and the predictions of the
evolutionary theory on
  • Links between human longevity and fertility
  • Lifespan heritability in humans
  • Quality of offspring conceived to older parents

3
Founding Fathers
  • Beeton, M., Yule, G.U., Pearson, K. 1900. Data
    for the problem of evolution in man. V. On the
    correlation between duration of life and the
    number of offspring. Proc. R. Soc. London, 67
    159-179.
  • Data used English Quaker records and Whitney
    Family of Connectucut records for females and
    American Whitney family and Burkes Landed
    Gentry for males.

4
Findings and Conclusions by Beeton et al., 1900
  • They tested predictions of the Darwinian
    evolutionary theory that the fittest individuals
    should leave more offspring.
  • Findings Slightly positive relationship between
    postreproductive lifespan (50) of both mothers
    and fathers and the number of offspring.
  • Conclusion fertility is correlated with
    longevity even after the fecund period is passed
    and selective mortality reduces the numbers of
    the offspring of the less fit relatively to the
    fitter.

5
Other Studies, Which Found Positive Correlation
Between Reproduction and Postreproductive
Longevity
  • Telephone inventor Alexander Graham Bell (1918)
  • The longer lived parents were the most
    fertile.
  • Bettie Freeman (1935) Weak positive correlations
    between the duration of postreproductive life in
    women and the number of offspring borne. Human
    Biology, 7 392-418.
  • Bideau A. (1986) Duration of life in women after
    age 45 was longer for those women who borne 12 or
    more children. Population 41 59-72.

6
Studies that Found no Relationship Between
Postreproductive Longevity and Reproduction
  • Henry L. 1956. Travaux et Documents.
  • Gauter, E. and Henry L. 1958. Travaux et
    Documents, 26.
  • Knodel, J. 1988. Demographic Behavior in the
    Past.
  • Le Bourg et al., 1993. Experimental Gerontology,
    28 217-232.

7
Study that Found a Trade-Off Between
Reproductive Success and Postreproductive
Longevity
  • Westendorp RGJ, Kirkwood TBL. 1998. Human
    longevity at the cost of reproductive success.
    Nature 396 743-746.
  • Extensive media coverage including BBC and over
    100 citations in scientific literature as an
    established scientific fact. Previous studies
    were not quoted and discussed in this article.

8
Point estimates of progeny number for married
aristocratic women from different birth cohorts
as a function of age at death. The estimates of
progeny number are adjusted for trends over
calendar time using multiple regression.
  • Source Westendorp, Kirkwood, Human longevity at
    the cost of reproductive success. Nature, 1998,
    396, pp 743-746

9
Number of progeny and age at first childbirth
dependent on the age at death of married
aristocratic women
  • Source Westendorp, R. G. J., Kirkwood, T. B. L.
    Human longevity at the cost of reproductive
    success. Nature, 1998, 396, pp 743-746

10
it is not a matter of reduced fertility, but a
case of 'to have or have not'.
Source Toon Ligtenberg Henk Brand. Longevity
does family size matter? Nature, 1998, 396, pp
743-746
11
  • Source Westendorp, R. G. J., Kirkwood, T. B. L.
    Human longevity at the cost of reproductive
    success. Nature, 1998, 396, pp 743-746

12
Do longevous women have impaired fertility ?Why
is this question so important and interesting?
Scientific Significance
  • This is a testable prediction of some
    evolutionary theories of aging - disposable soma
    theory of aging (Kirkwood)

"The disposable soma theory on the evolution of
ageing states that longevity requires investments
in somatic maintenance that reduce the resources
available for reproduction (Westendorp,
Kirkwood, Nature, 1998).
13
Do longevous women have impaired fertility ?
  • Practical Importance.
  • Do we really wish to live a long life at the
    cost of infertility?
  • the next generations of Homo sapiens will
    have even longer life spans but at the cost of
    impaired fertility
  • Rudi Westendorp Are we becoming less
    disposable? EMBO Reports, 2004, 5 2-6.

"... increasing longevity through genetic
manipulation of the mechanisms of aging raises
deep biological and moral questions. These
questions should give us pause before we embark
on the enterprise of extending our lives
Walter Glennon "Extending the Human Life Span",
Journal of Medicine and Philosophy, 2002, Vol.
27, No. 3, pp. 339-354.
14
  • Educational Significance
  • Do we teach our students right?
  • Impaired fertility of longevous women is
    often presented in scientific literature and mass
    media as already established fact (Brandt et al.,
    2005 Fessler et al., 2005 Schrempf et al.,
    2005 Tavecchia et al., 2005 Kirkwood, 2002
    Westendorp, 2002, 2004 Glennon, 2002 Perls et
    al., 2002 etc.).
  • This "fact" is now included in teaching
    curriculums in biology, ecology and anthropology
    world-wide (USA, UK, Denmark).
  • Is it a fact or artifact ?

15
General Methodological Principle
  • Before making strong conclusions, consider all
    other possible explanations, including potential
    flaws in data quality and analysis
  • Previous analysis by Westendorp and Kirkwood was
    made on the assumption of data completenessNumbe
    r of children born Number of children
    recorded
  • Potential concerns data incompleteness,
    under-reporting of short-lived children, women
    (because of patrilineal structure of genealogical
    records), persons who did not marry or did not
    have children.Number of children born   gtgt
    Number of children recorded

16
Test for Data Completeness
  • Direct Test Cross-checking of the initial
    dataset with other data sources
  • We examined 335 claims of childlessness in
    the dataset used by Westendorp and Kirkwood.
    When we cross-checked these claims with other
    professional sources of data, we  found that at
    least 107 allegedly childless women (32) did
    have children!
  • At least 32 of childlessness claims proved to
    be wrong ("false negative claims") !
  • Some illustrative examples
  • Henrietta Kerr (16531741) was apparently
    childless in the dataset used by Westendorp and
    Kirkwood and lived 88 years. Our cross-checking
    revealed that she did have at least one child,
    Sir William Scott (2nd Baronet of Thirlstane,
    died on October 8, 1725).
  •  Charlotte Primrose (17761864) was also
    considered childless in the initial dataset and
    lived 88 years. Our cross-checking of the data
    revealed that in fact she had as many as five
    children Charlotte (18031886), Henry
    (18061889), Charles (18071882), Arabella
    (1809-1884), and William (18151881).
  • Wilhelmina Louise von Anhalt-Bernburg
    (17991882), apparently childless, lived 83
    years. In reality, however, she had at least
    two children, Alexander (18201896) and Georg
    (18261902).

17
Point estimates of progeny number for married
aristocratic women from different birth cohorts
as a function of age at death. The estimates of
progeny number are adjusted for trends over
calendar time using multiple regression.
  • Source Westendorp, R. G. J., Kirkwood, T. B. L.
    Human longevity at the cost of reproductive
    success. Nature, 1998, 396, pp 743-746

18
Antoinette de Bourbon(1493-1583)
  • Lived almost 90 years
  • She was claimed to have only one child in the
    dataset used by Westendorp and Kirkwood Marie
    (1515-1560), who became a mother of famous Queen
    of Scotland, Mary Stuart.
  • Our data cross-checking revealed that in fact
    Antoinette had 12 children!
  • Marie 1515-1560
  • Francois Ier 1519-1563
  • Louise 1521-1542
  • Renee 1522-1602
  • Charles 1524-1574
  • Claude 1526-1573
  • Louis 1527-1579
  • Philippe 1529-1529
  • Pierre 1529
  • Antoinette 1531-1561
  • Francois 1534-1563
  • Rene 1536-1566

19
Characteristics of Our Data Sample for
Reproduction-Longevity Studies
  • 3,723 married women born in 1500-1875 and
    belonging to the upper European nobility.
  • Women with two or more marriages (5) were
    excluded from the analysis in order to facilitate
    the interpretation of results (continuity of
    exposure to childbearing).
  • Every case of childlessness has been checked
    using at least two different genealogical
    sources.

20
Typical Mistakes in Biological Studies of Human
Longevity
  • Using lifespan data for non-extinct birth cohorts
    (cemetery effect)
  • Failure to control for birth cohort spurious
    correlations may be found if variables have
    temporal dynamics
  • Failure to take into account social events and
    factors e.g., failure to control for age at
    marriage in longevity-reproduction studies

21
Childlessness is better outcome than number of
children for testing evolutionary theories of
aging on human data
  • Applicable even for population practicing birth
    control (few couple are voluntarily childless)
  • Lifespan is not affected by physiological load of
    multiple pregnancies
  • Lifespan is not affected by economic hardship
    experienced by large families

22
(No Transcript)
23
Source Gavrilova et al. Does exceptional human
longevity come with high cost of infertility?
Testing the evolutionary theories of aging.
Annals of the New York Academy of Sciences, 2004,
1019 513-517.
24
Source Gavrilova, Gavrilov. Human longevity and
reproduction An evolutionary perspective. In
Grandmotherhood - The Evolutionary Significance
of the Second Half of Female Life. Rutgers
University Press, 2005 (in press).
25
Short Conclusion
  • Exceptional human longevity is NOT associated
    with infertility or childlessness

26
More Detailed Conclusions
  • We have found that previously reported high rate
    of childlessness among long-lived women is an
    artifact of data incompleteness, caused by
    under-reporting of children. After data cleaning,
    cross-checking and supplementation the
    association between exceptional longevity and
    childlessness has disappeared.
  • Thus, it is important now to revise a highly
    publicized scientific concept of heavy
    reproductive costs for human longevity. and to
    make corrections in related teaching curriculums
    for students.
  • It is also important to disavow the doubts and
    concerns over further extension of human
    lifespan, that were recently cast in biomedical
    ethics because of gullible acceptance of the idea
    of harmful side effects of lifespan extension,
    including infertility (Glannon, 2002).
  • There is little doubt that the number of children
    can affect human longevity through complications
    of pregnancies and childbearing, as well as
    through changes in socioeconomic status,  etc. 
    However,  the concept of heavy infertility cost
    of human longevity is not supported by data, when
    these data are carefully reanalyzed.

27
Mutation Accumulation Theory of Aging (Medawar,
1946)
  • From the evolutionary perspective, aging is an
    inevitable result of the declining force of
    natural selection with age.
  • So, over successive generations, late-acting
    deleterious mutations will accumulate, leading to
    an increase in mortality rates late in life.

28
Predictions of the Mutation Accumulation Theory
of Aging
  • Mutation accumulation theory predicts that those
    deleterious mutations that are expressed in later
    life should have higher frequencies (because
    mutation-selection balance is shifted to higher
    equilibrium frequencies due to smaller selection
    pressure).
  • Therefore, expressed genetic variability should
    increase with age (Charlesworth, 1994. Evolution
    in Age-structured Populations).
  • This should result in higher heritability
    estimates for lifespan of offspring born to
    longer-lived parents.

29
Linearity Principle of Inheritance in
Quantitative Genetics
  • Dependence between parental traits and offspring
    traits is linear

30
The Best Possible Source on Familial Longevity
Genealogies of European Royal and Noble Families
Marie-Antoinette von Habsburg-Lothringen
(1765-1793)
Charles IX dAnguleme (1550-1574)
Henry VIII Tudor (1491-1547)
31
Characteristic of our Dataset
  • Over 16,000 persons belonging to the European
    aristocracy
  • 1800-1880 extinct birth cohorts
  • Adult persons aged 30
  • Data extracted from the professional genealogical
    data sources including Genealogisches Handbook
    des Adels, Almanac de Gotha, Burke Peerage and
    Baronetage.

32
Daughter's Lifespan(Mean Deviation from Cohort
Life Expectancy)as a Function of Paternal
Lifespan
  • Offspring data for adult lifespan (30 years) are
    smoothed by 5-year running average.
  • Extinct birth cohorts (born in 1800-1880)
  • European aristocratic families. 6,443
    cases

33
The Heritability of Life-Spans Is SmallC.E.
Finch, R.E. Tanzi, Science, 1997, p.407
Paradox of low heritability of lifespan vs high
familial clustering of longevity
long life runs in families A. Cournil, T.B.L.
Kirkwood, Trends in Genetics, 2001, p.233
34
Heritability Estimates of Human Lifespan
35
Is the effect of non-linear inheritance remain
valid after controlling for other explanatory
variables?
  • Lifespan of other parent
  • Parental ages at childs conception
  • Ethnicity
  • Month of birth

36
Offspring Lifespan at Age 30 as a Function
of Paternal LifespanData are adjusted for
other predictor variables
Daughters, 8,284 cases
Sons, 8,322 cases
37
Offspring Lifespan at Age 30 as a Function
of Maternal LifespanData are adjusted for
other predictor variables
Daughters, 8,284 cases
Sons, 8,322 cases
38
Is the effect of non-linear inheritance observed
for non-biological relatives?
  • We need to test an alternative hypothesis that
    positive effects of long-lived parents on the
    offspring survival may be non-biological and
    caused by common environment and life style
  • What about lifespan of spouses?

39
Persons Lifespan as a Function of Spouse
LifespanData are adjusted for other predictor
variables
Married Women, 4,530 cases
Married Men, 5,102 cases
40
What about lifespan of other relatives?
(sisters vs sisters-in-law)
41
Persons Lifespan as a Function of Sisters
LifespanData are adjusted for other predictor
variables
Females, 5,421 cases
Males, 7,378 cases
42
Persons Lifespan as a Function of
Sisters-In-Law LifespanData are adjusted for
other predictor variables
Females, 4,789 cases
Males, 4,707 cases
43
Mortality Kinetics for Progeny Born to Long-Lived
(80) vs Short-Lived Parents Data are adjusted
for historical changes in lifespan
Sons
Daughters
44
Parental-Age Effects in Humans (accumulation of
mutation load in parental germ cells)
  • What are the Data and the Predictions of
    Evolutionary Theory on the Quality of Offspring
    Conceived to Older Parents?
  • Does progeny conceived to older parents live
    shorter lives?

45
Evolutionary Justification for Parental-Age
Effects
  • "The evolutionary explanation of senescence
    proposes that selection against alleles with
    deleterious effects manifested only late in life
    is weak because most individuals die earlier for
    extrinsic reasons.
  • This argument also applies to alleles whose
    deleterious effects are nongenetically
    transmitted from mother to progeny, that is, that
    affect the performance of progeny produced at
    late ages rather than of the aging individuals
    themselves.
  • a decline of offspring quality with parental
    age should receive more attention in the context
    of the evolution of aging.
  • Stearns et al. "Decline in offspring
    viability as a manifestation of aging in
    Drosophila melianogaster." Evolution, 2001, Vol.
    55, No. 9, pp. 18221831.

46
Genetic Justification for Paternal Age Effects
  • Advanced paternal age at child conception is the
    main source of new mutations in human
    populations.
  • James F. Crow

47
Paternal Age and Risk of Schizophrenia
  • Estimated cumulative incidence and percentage of
    offspring estimated to have an onset of
    schizophrenia by age 34 years, for categories of
    paternal age. The numbers above the bars show the
    proportion of offspring who were estimated to
    have an onset of schizophrenia by 34 years of
    age.
  • Source Malaspina et al., Arch Gen
    Psychiatry.2001.

48
Paternal Age as a Risk Factor for Alzheimer
Disease
  • MGAD - major gene for Alzheimer Disease
  • Source L. Bertram et al. Neurogenetics, 1998, 1
    277-280.

49
Daughters' Lifespan (30) as a Functionof
Paternal Age at Daughter's Birth6,032 daughters
from European aristocratic families born in
1800-1880
  • Life expectancy of adult women (30) as a
    function of father's age when these women were
    born (expressed as a difference from the
    reference level for those born to fathers of
    40-44 years).
  • The data are point estimates (with standard
    errors) of the differential intercept
    coefficients adjusted for other explanatory
    variables using multiple regression with nominal
    variables.
  • Daughters of parents who survived to 50
    years.

50
Contour plot for daughters lifespan (deviation
from cohort mean) as a function of paternal
lifespan (X axis) and paternal age at daughters
birth (Y axis)
7984 cases 1800-1880 birth cohorts European
aristocratic families Distance weighted least
squares smooth
51
Daughters Lifespan as a Function of
Paternal Age at Daughters Birth Data are
adjusted for other predictor variables
Daughters of shorter-lived fathers (lt80), 6727
cases
Daughters of longer-lived fathers (80), 1349
cases
52
Conclusions
  • Being conceived to old fathers is a risk factor,
    but it is modulated by paternal longevity
  • It is OK to be conceived to old father if he
    lives more than 80 years

53
Acknowledgments
  • This study was made possible thanks to
  • generous support from the National Institute on
    Aging, and
  • stimulating working environment at the Center
    on Aging, NORC/University of Chicago

54
For More Information and Updates Please Visit Our
Scientific and Educational Website on Human
Longevity
  • http//longevity-science.org
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